Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- Principal Data Engineer at Mashreq Bank designing and maintaining scalable data pipelines. Collaborating with teams to improve data models and ensure data quality and accessibility.
Responsibilities
- Develops and maintains scalable data pipelines of batch and real-time to support continuing increases in data demands of volume and complexity.
- Leading data engineering team and ensuring best practices and quality on the deliveries.
- Designs and Develops Data domains across banking products and laying foundation for Data Mesh architecture.
- Demonstrate deep knowledge and experience in databases, Datamart's, Data Modelling, Data Governance, Data Security, BI tools, ETL Solutions.
- Data Orchestration and Data-Ops practices enabler for the team
- Collaborates with analyst, data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Experience in Automating Deployment, scheduling, monitoring, and management of datasets and pipelines
- Understand business requirements and identify key performance indicators (KPIs) in Data Engineering.
- Design data models to transform raw data into meaningful insights.
- Ability to Debug Data issues in data platforms and Provide L2, L3 Production support as per SLA.
Requirements
- Principal Data engineer with a solid technical background and experience in data-intensive systems (> 15 years)
- Strong experience in Big Data, Hadoop Ecosystem, Spark Streaming, Kafka, Python, SQL, Hive, NIFI, Airflow
- Proficient with Azure Cloud services such as Azure Data Factory (ADF), Databricks, ADLS, Azure Synapse, Logic Apps, Azure Functions. Or similar data stack knowledge within Google/AWS cloud services
- Proficiency in relational SQL, Graph and NoSQL databases.
- Proficiency in Elastic Search and Couchbase databases
- In-depth skills in developing and maintaining ETL/ELT data pipelines.
- Experience in data modelling techniques such as Kimball star schema, 3NF, vault modelling etc.
- Experience in workflow management tools such as Airflow, Oozie and CI/CD tools
- Data streaming solution in Kafka or Confluent Kafka
- Hands on experience in Google Big Query, Google Analytics & Clickstream Data Model
- Reporting knowledge in Power BI, Tableau, Qlik etc.
- Sound in Data Management Fundamentals and Data Architect, Modelling, Governance
- Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions
- Hands on knowledge in Hadoop and Azure/AWS cloud ecosystem and ETL jobs migration
- Knowledge of Advance Analytics and AI tools
Benefits
- People management responsibilities encompass the tasks and activities involved in leading, guiding, and developing a team of individuals to achieve organizational goals effectively.
- Setting clear performance expectations, conducting regular performance reviews, providing feedback, and offering guidance on areas of improvement.
- Follow predefined processes and workflows to carry out specific tasks and activities accurately and in a timely manner.
- Identify opportunities for process improvement and efficiency enhancement and provide feedback or suggestions to optimize workflows.
- Analyze the needs, expectations, and concerns of each stakeholder. Assess their level of influence, interest, and potential power to affect the project's success.
- Developing a comprehensive project plan that outlines the project scope, objectives, deliverables, timelines, resource requirements, and budget.
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